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A computerized English-Spanish correlation index to five biomedical library classification schemes based on MeSH.

E V Muench

    Bulletin of the Medical Library Association
    |July 1, 1971
    PubMed
    Summary

    A new index correlates English and Spanish biomedical terms with five classification systems. This tool aids in reclassifying collections and developing automatic classification methods.

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    International fellowships.

    Bulletin of the Medical Library Associationยท1971
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    Area of Science:

    • Bibliometrics and Information Science
    • Medical Informatics
    • Library Science

    Background:

    • Biomedical libraries utilize various classification schemes for organizing resources.
    • Standardization and cross-language accessibility of these schemes present challenges.
    • The Medical Subject Headings (MeSH) is a crucial controlled vocabulary in biomedicine.

    Purpose of the Study:

    • To develop a computerized English/Spanish correlation index linking MeSH to five major biomedical classification schemes.
    • To create a bilingual (English/Spanish) listing of MeSH terms.
    • To facilitate cross-classification and potential automatic classification applications.

    Main Methods:

    • Integrated five classification schemes (NLM, LC, Dewey, Cunningham, Boston Medical) with MeSH and its Spanish translation.

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  • Data processing involved keypunching, magnetic tape merging, and computer sorting by subject headings and classification numbers.
  • Generated an alphabetical index by English and Spanish subject headings and a sequential index by classification number.

    • Main Results:

    • A comprehensive computerized index correlating MeSH terms with five biomedical classification systems in both English and Spanish.
    • Provided a tool for converting classification numbers, aiding in collection reclassification.
    • Established a foundational database for future applications, including automatic classification.

    Conclusions:

    • The developed index enhances the usability and interoperability of biomedical classification schemes.
    • It serves as a valuable resource for librarians, researchers, and information scientists.
    • The system is extensible to include additional classification schemes and languages.